• Title/Summary/Keyword: 공간적분포

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A Study on the Spatial Distribution Patterns of Urban Green Spaces Using Local Spatial Autocorrelation Statistics (국지적 공간자기상관통계를 이용한 도시녹지의 공간적 분포패턴에 관한 연구)

  • Kim, Yun-Ki
    • Journal of Cadastre & Land InformatiX
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    • v.50 no.1
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    • pp.25-45
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    • 2020
  • The primary purpose of this study is to compare and analyze the performance of local spatial autocorrelation techniques in identifying spatial distribution patterns of green spaces. To achieve the objective, this researcher uses satellite image analysis and spatial autocorrelation techniques. The result of the study shows that the LISA cluster map with the spatial outlier cluster is superior to other analytical methods in identifying the spatial distribution pattern of urban green space. This study can contribute to the related fields in that it uses several different research methods than the existing ones. Despite this differentiation and usefulness, this study has limitations in using low-resolution satellite imagery and NDVI among vegetation indices in identifying spatial distribution patterns of green areas. These limitations may be overcome in future studies by using UAV images or by simultaneously using several vegetation indices.

Expectation Analysis of Inundation Using Distributed Model in NamgangDam Basin (분포형 모형을 적용한 남강댐 유역의 침수예측 분석)

  • Park, Mi Ri;Park, Sung Je;Lee, Young Kune
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.584-584
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    • 2015
  • 최근 기후변화로 인한 국지성 집중호우와 태풍 등으로 홍수피해가 급증하고 있음에 따라 침수지역에 대한 공간적인 분석과 사전 예측으로 피해를 최소화하려는 노력이 필요하다. 따라서 본 연구에서는 소유역 별 평균화된 매개변수로 홍수량을 산정하는 집중형 모형이 아닌 분포형 모형을 적용하여 남강댐 유역의 유출량 산정 및 침수예측을 분석하였다. 분포형 모형은 격자체계를 기반으로 유역에 각 격자별 공간적 특성이 반영된 매개변수를 적용하므로 유역의 특성을 효과적으로 반영하므로 집중형 모형보다 정확한 해석이 가능하다. DEM, 토양도, 토지피복도 등의 격자크기 $240{\times}240$의 지형공간 자료를 ArcGIS를 이용하여 남강댐유역의 Flow direction, 경사도, 하도경사, 불투수율, 유효공극률, 조도계수, 토양심도, 수리전도도, 토양흡인수두 등의 수문매개변수를 추출하였다. 강우 자료의 경우 티센(Thiessen)법에 의해 선정된 남강댐유역 주변의 장수, 거창, 진주, 합천, 산청, 남원 강우관측소의 100년빈도 확률강우량 산정하여 24시간 확률강우를 3분위 Huff 분포시킨 후 강우의 공간적 통계특성을 반영하는 크리깅(Kriging)기법으로 적용하여 강우보간을 실시하였다. 침수예측을 위해 $Vflo^{TM}$모형을 이용해 48시간의 강우모의시간 홍수수문곡선 유도 및 홍수량 산정하였으며, 시간에 따른 침수 시뮬레이션하여 침수예측도를 작성하였다. 작성 시 침수심의 정도에 따라 5개의 구간으로 분류해 침수위험지역을 확인 할 수 있도록 도식화하였다. 본 연구에서는 남강댐유역의 침수위험지역을 개략적으로 예측할 수 있었으며, 추후 연구에서는 보다 조밀한 격자크기와 강우를 이용하여 분석한다면 향후 피난 정보 제공과 홍수재해지도 작성, 홍수방지 시설물 건설 또는 홍수보험계획 등에 응용이 될 것으로 판단된다.

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Factors in Spatial Clustering and Regional Disparity of Public Libraries (공공도서관의 공간적 집적과 지역 간 격차 요인 분석)

  • Durk Hyun, Chang;Bon Jin, Koo
    • Journal of the Korean Society for Library and Information Science
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    • v.56 no.4
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    • pp.377-397
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    • 2022
  • The number of public libraries in Korea has been increasing. However, the focus was on quantitative growth, while it did not have much interests in whether its growth trend are have deviations by region, and if that is a fact, what factors caused such a disparity. For this reason, this study analyzes spatial distribution of public libraries in Korea and its affecting factors of regional gap. As a result, public libraries are constantly distributing in the metropolitan area and the distribution of public libraries showed deviations by region. The results of analysis regarding the determinants of public libraries distribution, rate of population growth, the number of businesses and financial independence rate are found to have a positive effect but local taxes per capita are not. Especially economic power of region and financial ability of a local government are key factors of regional disparity. It shows empirically that the supply of public libraries has been determined by the convenience of suppliers.

An Analysis on the Spatial Pattern of Local Safety Level Index Using Spatial Autocorrelation - Focused on Basic Local Governments, Korea (공간적 자기상관을 활용한 지역안전지수의 공간패턴 분석 - 기초지방자치단체를 중심으로)

  • Yi, Mi Sook;Yeo, Kwan Hyun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.1
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    • pp.29-40
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    • 2021
  • Risk factors that threaten public safety such as crime, fire, and traffic accidents have spatial characteristics. Since each region has different dangerous environments, it is necessary to analyze the spatial pattern of risk factors for each sector such as traffic accident, fire, crime, and living safety. The purpose of this study is to analyze the spatial distribution pattern of local safety level index, which act as an index that rates the safety level of each sector (traffic accident, fire, crime, living safety, suicide, and infectious disease) for basic local governments across the nation. The following analysis tools were used to analyze the spatial autocorrelation of local safety level index : Global Moran's I, Local Moran's I, and Getis-Ord's G⁎i. The result of the analysis shows that the distribution of safety level on traffic accidents, fire, and suicide tends to be more clustered spatially compared to the safety level on crime, living safety, and infectious disease. As a result of analyzing significant spatial correlations between different regions, it was found that the Seoul metropolitan areas are relatively safe compared to other cities based on the integrated index of local safety. In addition, hot spot analysis using statistical values from Getis-Ord's G⁎i derived three hot spots(Samchuck, Cheongsong-gun, and Gimje) in which safety-vulnerable areas are clustered and 15 cold spots which are clusters of areas with high safety levels. These research findings can be used as basic data when the government is making policies to improve the safety level by identifying the spatial distribution and the spatial pattern in areas with vulnerable safety levels.

Spatial Distribution Patterns of International Physical Distribution through Clearance Depot (통관거점을 이용한 국제물류의 공간적 분포 패턴)

  • Han, Ju-Seong
    • Journal of the Economic Geographical Society of Korea
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    • v.9 no.2
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    • pp.225-242
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    • 2006
  • This study aims to analyze the spatial distribution pattern of international trade. The method is to analyze the principal components by changing interaction attribute matrix of four dimensions (hinterland, gateway, foreland and commodities) into two dimension matrix. The study area is the territory region of Cheongju clearance depot in inland. The result are as follows : Major spatial patterns of regional connections by hinterland, gateway and foreland are, in the case of exports, ten patterns and in the case of imports come to nine. Composition of major export and import commodities in Cheongju clearance depot are similar, but precision instrument manufactured commodity and nonmetal mineral are remarkable in export and mineral manufactured commodity machinery and electronic manufactured commodity are remarkable in import. Gateway are similar to export and import, but Incheon international airport is used more in the case of import. And Cheongiu international airport is used for some commodities and is remarkable as a foreland of import for the areas outside of Chungcheongbuk-do.

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Analysis of Spatial Structure in Geographic Data with Changing Spatial Resolution (해상도 변화에 따른 공간 데이터의 구조특성 분석)

  • 구자용
    • Spatial Information Research
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    • v.8 no.2
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    • pp.243-255
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    • 2000
  • The spatial distribution characteristics and patterns of geographic features in space can be understood through a variety of analysis techniques. The scale is one of most important factors in spatial analysis techniques. This study is aimed at identifying the characteristics of spatial data with a coarser spatial resolution and finding procedures for spatial resolution in operational scale. To achieve these objectives, this study selected LANSAT TM imagery for Sunchon Bay, a coastal wetland for a study site, applied the indices for representing scale characteristics with resolution, and compared those indices. Local variance and fractal dimension developed by previous studies were applied to measure the textual characteristics. In this study, Moran s I was applied to measure spatial pattern change of variance data which were generated from the process of coarser resolution. Drawing upon the Moran s I of variancedata was optimum technique for analysing spatial structure than those of previous studies (local variance and fractal dimension). When the variance data represents maximum Moran´s I at certainly resolution, spatial data reveals maximum change at that resolution. The optimum resolution for spatial data can be explored by applying these results.

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Analysis of Spatial Crime Pattern and Place Occurrence Characteristics for Building a Safe City (안전도시 조성을 위한 범죄의 공간적 분포와 도시의 장소별 발생특성 분석)

  • Heo, Sun-Young;Moon, Tae-Heon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.15 no.4
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    • pp.78-89
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    • 2012
  • The purpose of this study is to examine the possibility of crime prevention in consideration of urban physical environment by analyzing the spatial distribution characteristics and pattern using actual crime occurrence data of the case city. The crime data was rebuilt by transforming them into geographic information system to analyze the spatial aspect of crime occurrence. The findings are as follows: a change from 2008 to 2011 is indicated with similar trend. But the local movements of crime hot spots are found. Moreover crimes were happening along the roads in linear pattern rather than inside of blocks in commercial area. This indicates the importance of environmental improvement of roads and open spaces. In addition it was found that the crime occurrence in a dangerous district can be reduced and prevented through the physical environment design and urban planning. The findings will contribute to promoting fundamental crime prevention as the physical environmental improvement in a city and to building a safe community as its result.

An Analysis on the Changes of the Surface Hydrological Parameters using Landsat TM Data (Landsat TM 자료를 이용한 지표면 수문인자 변화 분석)

  • Chae, Hyo-Sok;Song, Young-Soo
    • Journal of the Korean Association of Geographic Information Studies
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    • v.2 no.3
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    • pp.46-59
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    • 1999
  • Remote sensing provides informations on the changes of the hydrological states and variables over with the temporal and spatial distribution to monitor hydrological conditions and changes for large area. Especially, it can extract a spatial distribution of hydrological parameters such as surface albedo, vegetation informations, and surface temperature to effectively manage water resources of the watershed. In this study, we analyzed the characteristic of temporal and spatial changes in surface hydrological parameters which is necessary to identify the spatial distribution of water resources. 5 Landsat TM data of 1995 which is collected for Bochong-chon watershed, located in the upper stream of Keum River, were used to estimate characteristics on the change of hydrological parameters and atmospheric correction was carried out using COST model. The study showed that the difference of the albedo by the land cover was very sensitive depending upon the change of sun elevation and the amount of water in the soil. The difference between the surface temperature analysis and the measured air temperature was from $2.5^{\circ}C$ to $3.86^{\circ}C$.

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Development of Stochastic Model and Simulation for Spatial Process Using Remotely Sensed Data : Fire Arrival Process (원격탐사자료를 이용한 공간적 현상의 모형화 및 시뮬레이션 : 자연화재발생의 경우)

  • 정명희
    • Spatial Information Research
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    • v.6 no.1
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    • pp.77-90
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    • 1998
  • The complex interactions of climate, topography, geology, biota and hwnan activities result in the land cover patterns, which are impacted by natural disturbances such as fire, earthquake and flood. Natural disturbances disrupt ecosystem communities and change the physical environment, thereby generating a new landscape. Community ecologists believe that disturbance is critical in determining how diverse ecological systems function. Fires were once a major agent of disturbance in the North American tall grass prairies, African savannas, and Australian bush. The major focus of this research was to develop stochastic model of spatial process of disturbance or spatial events and simulate the process based on the developed model and it was applied to the fire arrival process in the Great Victoria Desert of Australia, where wildfires generate a mosaic of patches of habitat at various stages of post-fire succession. For this research, Landsat Multi-Spectral Scanner(MSS) data covering the period from 1972 to 1994 were utilized. Fire arrival process is characterized as a spatial point pattern irregularly distributed within a region of space. Here, nonhomogeneous planar Poisson process is proposed as a model for the fire arrival process and rejection sampling thinning the homogeneous Poisson process is used for its simulation.

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Spatial Distribution Pattern of the Populations of Carex siderosticta at Mt. Geumjeong and Mt. Ahop (금정산과 아홉산의 대사초 집단의 공간적 분포 양상)

  • Huh, Man Kyu
    • Journal of Life Science
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    • v.25 no.4
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    • pp.369-375
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    • 2015
  • Data on the spatial distribution of a plant population among administrative areas is useful for various purposes. In this study, I analyzed the spatial distribution of the geographical distances of Carex siderosticta at Mt. Geumjeong and Mt. Ahop in Korea. The aim was to test a spatial structure within two populations of C. siderosticta. Most natural plots of C. siderosticta are not uniformly distributed in the forest community; for example, uniform plots were aggregately distributed within a space of 6.0 m $\times$ 6.0 m. When the sampling plots were larger than 6.0 m $\times$ 12.0 m, the individuals of C. siderosticta were aggregately distributed. The neighboring patches of C. siderosticta were predominantly 7.5 m to 9.0 m apart, on average; however, if the natural populations were disturbed by human activities, the aggregation occurred in shorter distances than a scale of 9.0 m. Moran's I of C. siderosticta significantly differed from the expected value in only 16 of 40 cases (40%). In conclusion, the geographical distribution of C. siderosticta is not even, with varying degrees of size in the plots, while human activities give rise to density effects in the plots at both Mt. Geumjeong and Mt. Ahop in Korea.